Senior Specialist - Data Sciences

Location- Bellandur bangalore Experience- 8- 12 Shift- 1.30pm- 10.30pm AI Risk Engineer on Responsible AI RAI team partners with business and IT development teams to help ensure that AI and machine learning systemsincluding thirdparty tools generative AI and AI agentsare fair transparent accountable secure and aligned with ethical principles Working at the intersection of AIML engineering ethics and policy you will build and maintain the automation scripts and tooling that power AI impact assessment process and help operationalize Responsible AI controls within our AI governance platform Credo AI You will collaborate closely with our Cybersecurity Legal and Data Privacy teams to ensure that AI solutions vendors and internal use cases adhere to guidelines policies and emerging regulations Responsibilities for this position may include but are not limited to Build maintain and enhance the automation flows scripts and tooling that support AI impact assessment and Responsible AI review processes Configure and administer AI governance platform Credo AIadding risk scenarios controls and review workflows that enable teams to document mitigations provide evidence and track AI risks across the lifecycle Design and operate review and approval checkpoints including preproduction questionnaires and periodic rereviews of AI use cases streamlining through automation where possible Establish and run model review processes for both pretrainedfoundation models and custombuilt machine learning models Assist in AI Discovery and maintain an inventory of AI models agents and use cases across the enterprise ensuring proper documentation and lifecycle governance Conduct ethical risk assessments and impact analyses for AI use cases including alignment with regulations such as the EU AI Act and industry frameworks such as the IOGP Responsible Use of AI principles and NIST AI Risk Management Framework Evaluate AI vendors models and external AI access requests for fairness security and policy compliance partnering with Cybersecurity Legal and Data Privacy 
 Influence the development and adoption of tools and methodologies to detect and mitigate bias drift and unintended consequences in machine learning and generative AI systems 
 Lead training FAQs and awareness campaignsleveraging Teams and Copilotto promote ethical AI practices and communicate process changes across business units 
 Partner with crossfunctional teams to integrate Responsible AI principles into product development and deployment workflows 
 Required Qualifications  
 Bachelors degree in Computer Science Data Science Engineering or a related field 
 Minimum 57 years of professional experience in data science analytics or AIML engineering roles 
 Proficiency in Python and experience building automation scripts or data pipelines that integrate with enterprise platforms and APIs Demonstrated ability to reason through ethical implications of AI systems and articulate tradeoffs Experience working with interdisciplinary teams eg cybersecurity legal privacy policy to embed Responsible AI principles Strong communication and presentation skills to convey complex technical concepts to diverse audiences Familiarity with data governance frameworks and enterprise compliance standards eg GDPR CCPA NIST OECD Preferred Qualifications Masters degree in Data Science Computer Science or a related field Certifications in Responsible AI DataAI Ethics Cybersecurity or AI Governance Experience developing and evaluating machine learning models using Python and libraries such as scikitlearn TensorFlow or PyTorch Experience with generative AI or agentic AI frameworks tools or applications and with governing AI agents eg agent registries Microsoft Agents 365 Experience with AI governance or modelrisk platforms eg Credo AI and workflow automation eg Power Automate Azure DevOps Knowledge of fairness interpretability and robustness techniques in AI Experience with enterprise AI platforms eg Azure ML Azure AI Foundry Databricks DataRobot Familiarity with emerging AI regulations and industry frameworks eg EU AI Act NIST AI Risk Management Framework IOGP Responsible Use of AI Proven ability to work autonomously in ambiguous environments and make connections between disparate data sources Skills we are looking for Musthave Python familiarity AI system implementation familiarity with policies related to AI governance Goodtohave certification in RAI dataAI ethics cybersecurity or AI governance Oil Gas domain